def __init__(self):
NineTailModel.__init__(self) # Invoke superclass constructor
# Create a graph
vertices = [x for x in range(NUMBER_OF_NODES)]
graph = WeightedGraph(vertices, getWeightedEdges());
# Obtain a BSF tree rooted at the target node
self.tree = graph.getShortestPath(511)
def main():
# Prompt the user to enter nine coins H's and T's
initialNode = input("Enter an initial nine coin H's and T's: ").strip()
# Create the NineTaileModel
model = NineTailModel()
path = model.getShortestPath(getIndex(initialNode))
print("The steps to flip the coins are ")
for i in range(len(path)):
printNode(getNode(path[i]))
def main():
# Prompt the user to enter nine coins H's and T's
initialNode = \
input("Enter an initial nine coin H's and T's: ").strip()
# Create the NineTaileModel
model = NineTailModel()
path = model.getShortestPath(getIndex(initialNode))
print("The steps to flip the coins are ");
for i in range(len(path)):
printNode(getNode(path[i]))
def solve():
c = "".join(coins.get())
model = NineTailModel()
path = model.getShortestPath(getIndex(c))
canvas.delete(ALL)
x = 10
y = 10
canvas.config(width = 50 + (50* len(path)))
for i in range(len(path)):
node = getNode(path[i])
for j in range(3):
for k in range(3):
canvas.create_rectangle(x, y, x+10, y + 20)
canvas.create_text(x + 5, y + 10, text = node[j+k])
x += 10
x = x - 30
y += 20
x += 50
y = 10
from WeightedNineTailModel import WeightedNineTailModel
from NineTailModel import NineTailModel
node = 511
tree1 = WeightedNineTailModel()
depth1 = tree1.getShortestPath(node)
tree2 = NineTailModel()
depth2 = tree2.getShortestPath(node)
if depth1 != depth2:
print("They are not the same")
else:
print("They are the same")
